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The Interval Parameter Optimization Model Based on Three-Way Decision Space and Its Application on 'Green Products Recommendation'

Authors :
Mingxia Li
Kebing Chen
Caiyun Liu
Baoxiang Liu
Source :
Discrete Dynamics in Nature and Society, Vol 2020 (2020)
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

The interval concept lattice theory, a new method of mining objects based on interval parameters, can more accurately deal with uncertain information than the classical concept lattice theory. The optimization of interval parameters has been a problem that is not well solved. From the perspective of three-way decision space, we first combine the theories of interval concept lattice and three-way decision and then put forward interval three-way decision space theory; second, in the interval three-way decision space, the positive region, negative region, and boundary region are divided by extension of interval three-way decision concept; further, the decision loss function and three-way decision rules are extracted. Through adjusting interval parameters of the lattice structure, we could find that when parameter α is roughly 0.6, more credible decision rules will be mined and decision-making becomes more clear than that under the condition α is less than 0.6; finally, we verify the model by a “Green Products Recommendation” example.

Subjects

Subjects :
Mathematics
QA1-939

Details

Language :
English
ISSN :
10260226 and 1607887X
Volume :
2020
Database :
Directory of Open Access Journals
Journal :
Discrete Dynamics in Nature and Society
Publication Type :
Academic Journal
Accession number :
edsdoj.1f329d973b7449bea8378e7cf8a2ebbc
Document Type :
article
Full Text :
https://doi.org/10.1155/2020/9587353